In many healthcare facilities, clinical and nurse staff scheduling is done on the fly, resulting in shortages and labor cost overruns. Since labor can account for 50-60 percent of a healthcare organization’s operating budget, these issues are considerable. Such challenges undermine quality of care, patient safety, and clinician satisfaction. What if predictive healthcare analytics could allow you to plan accurately for the next 120 days instead of planning only for the next shift?

Centralized Resource Management and Healthcare Scheduling Software

The science of healthcare workforce planning begins with predictive analytics. We gather an array of healthcare staffing intelligence ranging from historical census data to local weather trends to develop accurate patient volume forecasts. Such data enables:

• Identification of needs

• Enterprise-wide staff coordination

• Reduced labor costs

• Cost-effective open shift management

Using demand forecasting, Smart Square®, AMN Healthcare and Avantas' system-wide healthcare scheduling software, helps create better, more accurate staffing plans sooner, employing multiple scheduling features that can be tailored to each organization's needs. With Smart Square®, schedules are determined by the particular historical trends, seasonal fluctuations, and other factors that influence your department or unit, not some generic statistical model.

The result is 97% accurate forecasts of staffing outcomes 30 days in advance of the shift. Clinical scheduling software reduce the time managers and clinicians spend on staffing, and returns attention to caring for patients. In addition, Smart Square’s patented open-shift management protocol enables organizations to fill 75% of open shift hours more than two weeks ahead of the shift. Smart Square® is predictive modeling healthcare analytics in action.

"Working with Avantas, we implemented best practices and redesigned our labor management strategy not only to achieve savings but to increase our staffing flexibility to meet fluctuating patient demand."

Healthcare Predictive Modeling Meets Innovative Workforce Solutions

Once an accurate staffing forecast is developed, the healthcare enterprise or individual unit/department can accurately predict its particular staffing needs. As the industry’s leading staffing partner, AMN Healthcare is the critical next component, fulfilling healthcare workforce needs with a comprehensive network of healthcare professionals and innovative workforce solutions such as Managed Services Programs (MSP) and Recruitment Process Outsourcing (RPO).

Predictive Analytics Survey: Scheduling & Staffing Solution Unknown to Those Who Need It Most

Severe shortages of healthcare professionals are being felt at the unit-level of care facilities, where difficulties in scheduling and staffing of registered nurses are chronic problems.

Predictive Analytics in Healthcare 2016: Optimizing Nurse Staffing in an Era of Workforce Shortages analyzes the growing challenges in scheduling and staffing of registered nurses through a survey of nurse managers, as well as interviews with nurse managers, finance managers, and registered nurses. It also examines the state of knowledge about predictive analytics in patient care facilities.

Key findings include that large majorities of nurse managers believe scheduling and staffing problems are harming staff morale and patient satisfaction. Nearly all say that advanced scheduling technology that can accurately forecast patient demand and stafﬁng needs would be helpful. But 80% did not know that such technology-enabled solutions are available.

Take a look at how AMN Healthcare predictive analytics and scheduling software solution can improve staffing efficiency, patient outcomes and clinician satisfaction.

White Papers

Beyond the Float PoolTo cost effectively meet patient demand with today’s diversified and complex delivery networks, healthcare providers must have contingency staff strategies that go well beyond the idea of having a “float pool.”

Open Shift ManagementThis white paper presents the results of a study examining staff motivations in filling high-need nursing shifts and how a scheduling module of decreasing financial incentives as shift dates approach support nurses’ decisions.

Scheduling for Maximum EfficiencyAvantas conducted research of inpatient nursing units at more than 75 hospitals and tracked how various scheduling frequencies impacted two important financial factors: FTE leakage and incidental worked time.

Penn State Milton S. Hershey Medical CenterPenn State Hershey, with the help of their labor management partner, Avantas, has taken this concept to a new level, implementing the strategy across the entire continuum of care.

SSM Health Care – St. LouisA St. Louis-based health system transforms their organization from a collection of individual hospitals operating separately into a truly interconnected system backed by strategies and technologies to support labor management at the enterprise level.

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